我正在使用决策树并出现此错误。当我使用反向传播时,也出现了同样的情况。怎么解决呢?
import pandas as pd
import numpy as np
a = np.test()
f = open('E:/lgdata.csv')
data = pd.read_csv(f,index_col = 'id')
x = data.iloc[:,10:12].as_matrix().astype(int)
y = data.iloc[:,9].as_matrix().astype(int)
from sklearn.tree import DecisionTreeClassifier as DTC
dtc = DTC(criterion='entropy')
dtc.fit(x,y)
x=pd.DataFrame(x)
from sklearn.tree import export_graphviz
with open('tree.dot','w') as f1:
f1 = export_graphviz(dtc, feature_names = x.columns, out_file = f1)
Traceback (most recent call last):
File "<ipython-input-40-4359c06ae1f0>", line 1, in <module>
runfile('C:/ProgramData/Anaconda3/lib/site-packages/scipy/_lib/_numpy_compat.py', wdir='C:/ProgramData/Anaconda3/lib/site-packages/scipy/_lib')
File "C:\ProgramData\Anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py", line 710, in runfile
execfile(filename, namespace)
File "C:\ProgramData\Anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py", line 101, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)
File "C:/ProgramData/Anaconda3/lib/site-packages/scipy/_lib/_numpy_compat.py", line 9, in <module>
from numpy.testing.nosetester import import_noseModuleNotFoundError: No module named 'numpy.testing.nosetester'
最佳答案
发生这种情况是由于 numpy
和 scipy
之间的版本不兼容。 numpy
在其最新版本中已弃用 numpy.testing.nosetester
。
复制问题
pip install numpy==1.18 # > 1.18
pip install scipy<=0.19.0 # <= 0.19
和
from sklearn.tree import DecisionTreeClassifier as DTC
触发错误。
修复错误
将您的 scipy
升级到更高版本。
pip install numpy==1.18
pip install scipy==1.1.0
pip install scikit-learn==0.21.3
但不限于此。通过将上述库升级到最新的稳定版,您应该能够消除此错误。
关于python - 模块未找到错误: No module named 'numpy.testing.nosetester' ,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/59474533/